Rajeev Rikhye

36 total papers · 1.0k total citations
15 papers, 550 citations indexed

About

Rajeev Rikhye is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rajeev Rikhye has authored 15 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 7 papers in Artificial Intelligence and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rajeev Rikhye's work include Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (3 papers). Rajeev Rikhye is often cited by papers focused on Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (3 papers). Rajeev Rikhye collaborates with scholars based in United States, United Kingdom and India. Rajeev Rikhye's co-authors include Michael M. Halassa, Aditya Gilra, Mriganka Sur, Ralf Wimmer, Vincent Breton‐Provencher, Abhishek Banerjee, Chenchen Li, Zhanyan Fu, Keji Li and Caroline A. Runyan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Rajeev Rikhye

14 papers receiving 547 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rajeev Rikhye	377	190	91	71	49	15	550
Kevin Lloyd	146 0.4×	277 1.5×	105 1.2×	36 0.5×	24 0.5×	18	568
Michele Ferrante	299 0.8×	248 1.3×	67 0.7×	14 0.2×	51 1.0×	18	512
Anubhuti Goel	317 0.8×	251 1.3×	158 1.7×	136 1.9×	13 0.3×	12	542
Tom Macpherson	256 0.7×	225 1.2×	123 1.4×	19 0.3×	16 0.3×	21	507
Martina L. Mustroph	216 0.6×	296 1.6×	55 0.6×	24 0.3×	14 0.3×	13	601
Ryan S. Carraway	524 1.4×	124 0.7×	46 0.5×	61 0.9×	14 0.3×	9	602
Claudia Perez	372 1.0×	108 0.6×	33 0.4×	25 0.4×	16 0.3×	19	503
Kexin Yuan	408 1.1×	260 1.4×	55 0.6×	19 0.3×	13 0.3×	21	582
Mattia Privitera	255 0.7×	175 0.9×	99 1.1×	18 0.3×	15 0.3×	13	550
Daniela B. Fenker	458 1.2×	137 0.7×	39 0.4×	24 0.3×	24 0.5×	12	603

Countries citing papers authored by Rajeev Rikhye

Since Specialization

Citations

This map shows the geographic impact of Rajeev Rikhye's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rajeev Rikhye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajeev Rikhye more than expected).

Fields of papers citing papers by Rajeev Rikhye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajeev Rikhye. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rajeev Rikhye. The network helps show where Rajeev Rikhye may publish in the future.

Co-authorship network of co-authors of Rajeev Rikhye

This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev Rikhye. A scholar is included among the top collaborators of Rajeev Rikhye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rajeev Rikhye. Rajeev Rikhye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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